Tanupriya Lakshmi Narayana

Data Engineer @UnitedHealth Group

US

Description: Built a cloud-native data platform on AWS to process large-scale healthcare datasets, enabling scalable, cost-efficient ETL workflows.Responsibilities:• Designed and implemented a healthcare data lake on AWS S3 with partitioning, versioning, and lifecycle policies, cutting storage costs and improving query speed.• Built and optimized scalable ETL pipelines using AWS Glue(PySpark), S3, and Redshift, processing multi-terabyte healthcare records to enable high-performance analytics.• Developed DBT models for transformation logic and data quality checks, ensuring clean, compliant, and business-ready datasets for reporting teams.• Programmed advanced Python and SQL scripts for data cleansing, validation, and transformation, increasing overall pipeline efficiency and reliability.• Automated pipeline orchestration with AWS Lambda, Step Functions, and CloudWatch, reducing manual monitoring by 60% and improving SLA adherence.• Leveraged Snowflake and MySQL for hybrid data storage and transformation, supporting real-time querying and seamless data availability.• Applied IAM security principles to manage access controls, ensuring HIPAA compliance and safeguarding PHI across AWS and Snowflake environments.• Built interactive dashboards in Power BI delivering actionable insights for stakeholders across healthcare operations and compliance teams.• Used GitHub for version control, enabling collaborative code reviews, CI/CD practices, and structured change management across engineering teams.• Migrated legacy ETL processes into cloud-native AWS pipelines, improving scalability and reliability.

Visvesvaraya Technological University

Bachelor of Engineering - BE

Arizona State University

Master of Science - MS